{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:09:36Z","timestamp":1763194176859,"version":"3.45.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227910","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["HITSQL: Human-In-The-Loop Techniques for Enhancing Text-to-SQL Query Generation with Large Language Models"],"prefix":"10.1109","author":[{"given":"Dhoyazan","family":"Al-Turki","sequence":"first","affiliation":[{"name":"Birmingham City University,School of Computing and Digital Technology,Birmingham,UK,B4 7XG"}]},{"given":"Shadi","family":"Basurra","sequence":"additional","affiliation":[{"name":"Birmingham City University,School of Computing and Digital Technology,Birmingham,UK,B4 7XG"}]},{"given":"Mohamed","family":"Gaber","sequence":"additional","affiliation":[{"name":"Birmingham City University,School of Computing and Digital Technology,Birmingham,UK,B4 7XG"}]},{"given":"Bushra","family":"Attasi","sequence":"additional","affiliation":[{"name":"SkyTech LLC,Amman,Jordan"}]},{"given":"Mohammed M.","family":"Abdelsamea","sequence":"additional","affiliation":[{"name":"University of Exeter,Department of Computer Science,Exeter,UK,EX4 4QF"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96071-5_121"},{"issue":"1","key":"ref2","first-page":"28","article-title":"The sap hana database\u2013an architecture overview","volume":"35","author":"F\u00e4rber","year":"2012","journal-title":"IEEE Data Eng. Bull."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2025.3609486"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-7022-3_23"},{"article-title":"Evaluating the data model robustness of text-to-sql systems based on real user queries","year":"2024","author":"F\u00fcrst","key":"ref5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-92611-2_4"},{"article-title":"A comprehensive evaluation of chatgpt\u2019s zero-shot text-to-sql capability. arxiv","year":"2023","author":"Liu","key":"ref7"},{"article-title":"Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assessment","year":"2023","author":"Xu","key":"ref8"},{"article-title":"An llm maturity model for reliable and transparent text-to-query","year":"2024","author":"Yu","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1061\/JMENEA.MEENG-5359"},{"key":"ref11","article-title":"Din-sql: Decomposed in-context learning of text-to-sql with self-correction","volume":"36","author":"Pourreza","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3314221.3314591"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-42276-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00918"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.641"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/fi17080325"},{"article-title":"Robust text-to-sql generation with execution-guided decoding","year":"2018","author":"Wang","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.14778\/3641204.3641221"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3591300"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.99"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2025.3609486"},{"article-title":"From natural language to sql: Review of llm-based text-to-sql systems","year":"2024","author":"Mohammadjafari","key":"ref22"},{"article-title":"Din-sql: Decomposed in-context learning for text-to-sql","year":"2023","author":"Pourreza","key":"ref23"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227910.pdf?arnumber=11227910","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:05:27Z","timestamp":1763193927000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227910\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227910","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}